David Zimmerman

Demonstrated 30 data management use cases by developing Python scripts in Jupyter Notebooks that call IBM REST APIs and automate data ownership changes

Leveraged JavaScript skills to write a script for a federal client that calls IBM REST APIs, feeds a data ingestion pipeline of AI and Natural Language Processing services, and flags relevant international news articles

Developed a reinforcement-based learner that can learn a stock trading strategy based on historical stock indicator data and suggest trades for an out-of-sample time period

Directing pre-sales engagements with 6-12 enterprise financial clients by building POCs of our AIOps, Data, and AI solutions

Partnering with my main client to help them avoid payment processing bottlenecks by building a WatsonX AI/ML prediction model and an early warning system to focus troubleshooting efforts

Directed sales, product management, and engineering to build a machine learning demo for worldwide sales specialists that accurately predicts and prevents outages in IT services

Piloted a program for training over 600 incoming Solutions Engineers on how to build full-stack web applications with JavaScript, Node.js, Swagger, Db2, Docker, GitHub, and Red Hat OpenShift